Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP |
2019-05-10 13:50 |
Oita |
J:COM HoltoHALL OITA |
Structure estimation of a neural network using Inter-spike-interval Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Ikeguchi Tohru (TUS) NLP2019-3 |
In this paper, we apply the causal estimation method of Convergent Cross Mapping to a mathematical model of neural netwo... [more] |
NLP2019-3 pp.13-18 |
NC, MBE (Joint) |
2019-03-05 15:00 |
Tokyo |
University of Electro Communications |
On the spatiotemporal information contained in spike responses of mouse retina ganglion cells Yuki Kashiwagi, Koji Yamamoto, Tetsuya Yagi, Yuki Hayashida (Osaka Univ.) MBE2018-99 |
Information in the visual scene projected on the retina is encoded into the digital-like electrical signal called “spike... [more] |
MBE2018-99 pp.65-70 |
NLP |
2013-10-29 10:15 |
Kagawa |
Sanport Hall Takamatsu |
A chaotic spiking oscillator including signum-characteristic current sources Takahiro Tanaka, Yusuke Matsuoka (YNCT) NLP2013-94 |
This paper considers a chaotic spiking oscillator including signum-characteristic current sources. The oscillator consis... [more] |
NLP2013-94 pp.127-131 |
CAS, NLP |
2013-09-27 10:15 |
Gifu |
Satellite Campus, Gifu University |
A parameter learning method for Piecewise-Constant Chaos Oscillator with spike trains of desired ISI Tatsuro Furusawa, Tadashi Tsubone (Nagaoka Univ. of Tech.) CAS2013-47 NLP2013-59 |
In this study, we consider a parameter identification method for piecewise-constant chaos oscillator (PWCCO) which can g... [more] |
CAS2013-47 NLP2013-59 pp.63-66 |
NLP |
2011-12-15 14:50 |
Aomori |
Iwaki Hall AB, Hirosaki Univ. |
Bifurcation of Inter-Spike-Interval Density of Piecewise-Constant Chaotic Spiking Oscillator with Dead-Time Takahiro Aoki, Tadashi Tsubone (Nagaoka Univ. of Tech.) NLP2011-121 |
In this report, we consider inter-spike-interval (abbr. ISI)density of a chaotic spiking oscillator (abbr. CSO) with pie... [more] |
NLP2011-121 pp.25-30 |
NC, NLP |
2009-07-13 14:00 |
Nara |
NAIST |
Minimum Conditional Entropy Principle Inferred from Irregular Firing of in Vivo Cortical Neurons Yasuhiro Tsubo, Yoshikazu Isomura, Tomoki Fukai (RIKEN BSI) NLP2009-20 NC2009-13 |
Spike sequences recorded from cortical neurons in an awake animal are known to be highly irregular. It is crucial for el... [more] |
NLP2009-20 NC2009-13 pp.33-35 |
CAS, NLP |
2009-01-22 10:55 |
Miyazaki |
|
Bifurcation and ISI characteristics of chaotic spiking circuits Tomonari Hasegawa, Toshimichi Saito (Hosei Univ.) CAS2008-68 NLP2008-98 |
This paper study simple chaotic spiking oscillators relating to neuron models.
Repeating vibrate-and-fire dynamics, th... [more] |
CAS2008-68 NLP2008-98 pp.29-32 |
NLP |
2007-08-07 14:35 |
Shizuoka |
|
Bifurcation and ISI characteristics of piecewise constant spking circuits Tomonari Hasegawa, Yusuke Matsuoka, Toshimichi Saito (Hosei Univ.) NLP2007-60 |
This paper studies a chaotic spiking oscillator consisting of two
capacitors, two signum shape voltage-controlled curr... [more] |
NLP2007-60 pp.39-42 |
NLP |
2007-03-06 09:25 |
Miyagi |
|
ISI Characteristics of Vibrate-and-Fire Chaotic Circuits Tomonari Hasegawa, Yusuke Matsuoka, Toshimichi Saito, Tomohiro Inagaki (HU) |
This paper studies Inter-Spike Interval (ISI) characteristics of a piecewise constant vibrate-and-fire chaotic circuit. ... [more] |
NLP2006-155 pp.7-11 |
NC |
2006-03-16 16:25 |
Tokyo |
Tamagawa University |
Characteristics of various ISIs from a digital spiking neuron Hiroyuki Torikai, Yoshiaki Shimizu, Toshimichi Saito (HoseiI Univ.) |
A digital spiking neuron can generate spike-trains having various {\em inter-spike intervals} (ISIs).
The neuron can ha... [more] |
NC2005-149 pp.145-150 |